Search Results - Schreyer, D.

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  1. 1

    Forecasting the Olympic medal distribution - A socioeconomic machine learning model

    Schlembach, C., Schmidt, S. L., Schreyer, D., Wunderlich, L.
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  2. 2

    How big is home advantage at the Olympic Games?

    Singleton, C., Reade, J. J., Rewilak, J., Schreyer, D.
    Published in Discussion Paper 2021-13 (2021)
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  3. 3

    What can we learn about economics from sport during Covid-19?

    Bryson, A., Dolton, P., Reade, J. J., Schreyer, D., Singleton, C.
    Published in Discussion paper 2021-01 (2021)
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  4. 4

    Are diversified football clubs better prepared for a crisis? First empirical evidence from the stock market

    Fühner, J., Schmidt, S. L., Schreyer, D.
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  5. 5

    Stadium attendance demand during the COVID-19 crisis: early empirical evidence from Belarus

    Reade, J. J., Schreyer, D., Singleton, C.
    Published in Applied Economics Letters (2020)
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  6. 6

    Forecasting the Olympic medal distribution during a pandemic - a socio-economic machine learning model

    Schlembach, C., Schmidt, S. L., Schreyer, D., Wunderlich, L.
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  7. 7

    Experimental effects of an absent crowd on performances and refereeing decisions during COVID-19

    Bryson, A., Dolton, P., Reade, J. J., Schreyer, D., Singleton, C.
    Published in Discussion Paper Series (2020)
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  8. 8

    Game outcome uncertainty in the English Premier League. Do German fans care?

    Schreyer, D., Schmidt, S. L., Torgler, B.
    Published in Journal of Sports Economics (2018)
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  9. 9

    The future of professional football: A Delphi-based perspective of German experts on probable versus surprising scenarios

    Merkel, S., Schmidt, S. L., Schreyer, D.
    Published in Sport, Business and Management (2016)
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